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No Experience Machine Learning Data Annotation Jobs in New York

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Build product systems that enhance Spotify listeners' experience using machine learning techniques * Develop machine learning & deep learning models using Python, including data preprocessing ...

... experience. You'll be paired with full-time employees who act as mentors, collaborating with you on ... data. The interview process follows the same structure as our Software Engineering Intern ...

... experience. You'll be paired with full-time employees who act as mentors, collaborating with you on ... data. The interview process follows the same structure as our Software Engineering Intern ...

... experience. You'll be paired with full-time employees who act as mentors, collaborating with you on ... data. The interview process follows the same structure as our Software Engineering Intern ...

Experience designing AI agents capable of monitoring, planning, reasoning, and decision-making using vision, sensor, and contextual data. Experience with AWS machine learning and AI services ...

Experience designing AI agents capable of monitoring, planning, reasoning, and decision-making using vision, sensor, and contextual data. * Experience with AWS machine learning and AI services ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Improve data processing , annotation workflows , and ML system efficiency * Deploy and maintain the ... Several years of experience in machine learning engineering, MLOps, ML infrastructure, data ...

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

  • Medical

  • Retirement

One (1) year of experience must include: Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas ...

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

REQUIREMENTS Requires a bachelor's degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years ...

... years' experience in a data-driven role, with exposure to software engineering concepts and best ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

Showing results 21-40

No Experience Machine Learning Data Annotation information

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are the most commonly searched types of Machine Learning Data Annotation jobs in New York?

The most popular types of Machine Learning Data Annotation jobs in New York are:

What are popular job titles related to No Experience Machine Learning Data Annotation jobs in New York?

For No Experience Machine Learning Data Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning Data Annotation jobs in New York look for?

The top searched job categories for No Experience Machine Learning Data Annotation jobs in New York are:

What cities in New York are hiring for No Experience Machine Learning Data Annotation jobs?

Cities in New York with the most No Experience Machine Learning Data Annotation job openings:

Infographic showing various No Experience Machine Learning Data Annotation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Machine Learning Engineer

New York Times

Manhattan, NY • On-site

$170.17 - $255.26/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Overview

Machine Learning Engineer w/ Spotify USA Inc. in NY, NY. Bld productn systms that enrich & improve Spotify listeners' exp on Spotify usg machine learng techniques. Bach deg (U.S. or for equiv) in Engg (any), Comp Sci , Operatns Resrch, Math, Physics or rel field of study & 2 yrs of exp in Machine Learning or rel role. *

Responsibilities
  • Build product systems that enhance Spotify listeners' experience using machine learning techniques
  • Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets
  • Use SQL for large-scale data analysis & validation, including query, aggregation, and analysis of structured data to support model development & evaluation
  • Implement and train neural network models such as transformers & contrastive learning architectures using deep learning frameworks (e.g., PyTorch)
Qualifications
  • Bachelor’s degree (U.S. or equivalent) in Engineering (any), Computer Science, Operations Research, Mathematics, Physics or a related field
  • At least 2 years of experience in Machine Learning or a related role
  • At least 2 years of experience developing machine learning & deep learning models with Python
  • Experience with large-scale dataset processing, SQL, and model evaluation
  • Experience with deep learning frameworks such as PyTorch, implementing transformer and contrastive learning models
Benefits
  • Telecommuting permitted: work may be performed within normal commuting distance from the Spotify office in NY, NY
  • Salary: $170,173 - $255,259/yr
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